Aside

Contact Info

Programming

Main

Ardalan Mirshani

I am a Data Scientist and Statistical web app developer with an
interest on creating scientific tools, reproducible workflows, and automating repetitive tasks that arise during all data wrangling, exploring, visualizing, modeling, and reporting processes.

Professional Experience

Sr Expert Data Science

Novartis

Cambridge, MA

Present - 10-2019

  • Creating generalizable and reusable statistical tools, advance interactive visualizations, automation workflows, high performance computing,
    scientific reproducible templates and reports for analytics activities.
  • Developing production-grade shiny apps, modules, and R-packages to support exploratory machine learning projects.
  • Designing educational training materials and consulting for internal quantitative scientists.

Shiny app developer (Internship)

Novartis (Recommendation)

Cambridge, MA

08-2018 - 05-2018

  • Implementing modularized R Shiny apps for analyzing clinical trials.

Statistical Consultant

PSU Statistical Consulting Center

University Park, PA

2016

  • Applications of statistical methods in the consulting environment.

Education

PhD, Statistics

Pennsylvania State University

University Park, PA

2019 - 2014

M.Sc, Mathematics

Sharif University of Technology

Iran

2013 - 2011

B.Sc, Electrical Engineering

KNTU

Iran

2011 - 2006

Freelance Experience

Brand Loyalty Lab

A series of research and development on retail market brand loyalty.

N/A

Now - 2019

RAAVI

A complicated modularized Shiny app for analyzing students’ scores.

N/A

2018 - 2017

Other Languages:

  • Python: My second
    language, {reticulate}

  • Julia: Exploration

  • Script: Bash

Certificates

Data Science

DataCamp (Certificates)

N/A

2020 - 2018

  • Exploring +40 Datacamp courses on the state of the art pkgs in Data wrangling, visualizing, modeling, reporting, Big data, databases, and more for thinking and coding more efficient.









Cheatsheet

Research Experience

Adaptive function-on-scalar regression with a smoothing elastic net

Submitted to JMVA (Article)

N/A

2020 - 2018

  • {AFSSEN} R-Package: A very fast coordinate descent algorithm (C++ backend) for running function-on-scalar regression in high-dim data.

Formal privacy for functional data with gaussian perturbations

ICML 2019 (Article)

N/A

2019

  • Developed a Shiny app for exploring privacy in 3D facial data.

Everyday Learning:

  • R Community:
    Following #TidyTuesday, #Rstats, #dataviz, #RLadies, Screencasts

Teaching Experience

Lecturer: Probability, statistics and Calculus

Tehran Virtual University

Iran

2008

Awards

CD&A Best Poster Presentation Awards

A Shiny app for exploring safety and efficacy of Heme data

Novartis

2020

Rao Prize Best Poster Presentation Awards

Privacy in functional data analysis

PSU

2017

Silver Medal

35th Iranian National Mathematics Competition for university

Iran

2011

Disclaimer

Made with pagedown

Source code from nstrayer

Last updated on 2020-11-24.